Data Envelopment Analysis in Small and Medium Enterprises: A Study of the Australian Food, Beverages and Tobacco Manufacturing Industry

2002 ◽  
Vol 10 (2) ◽  
pp. 3-22 ◽  
Author(s):  
B. Kotey ◽  
C. J. O’Donnell
Keyword(s):  
Data Envelopment Analysis ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Data Envelopment ◽  
Medium Enterprises

scholarly journals Determination of KOSGEB Support Models for Small- and Medium-Scale Enterprises by Means of Data Envelopment Analysis and Multi-Criteria Decision Making Methods

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 130 ◽  
Author(s):  
Ali Sevinç ◽  
Tamer Eren
Keyword(s):  
Data Envelopment Analysis ◽  
Small And Medium Enterprises ◽  
Added Value ◽  
Data Envelopment ◽  
Test Analysis ◽  
Medium Scale ◽  
Use Of Resources ◽  
The Government ◽  
Medium Enterprises ◽  
Support Model

Small- and Medium-Scale Enterprises (SMEs) act as catalysts in the general economy with regard to their added value. Support programs have been designed by the government through the Small and Medium Enterprises Development and Support Administration KOSGEB) and other institutions in order to further the general economic contributions of such enterprises. However, there is no method for using support models according to a productivity and effectiveness principle. This causes serious wastes of both resources and time. In this study, the problem of applying support models to improve the most critical problems of SMEs was discussed. As a place of application, 82 firms registered to the Konya Chamber of Industry were selected for the automotive supplier industry. Firstly, a productivity evaluation of companies was performed by a data envelopment analysis (DEA). Firms were grouped into A, B1, B2, C1, and C2 according to their activity scores. Using an Analytical Hierarchy Process (AHP), the order of KOSGEB support was found using the Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS). Thus, firms will be able to focus on their most pressing problems, as well as enabling the efficient use of resources A: Small- and Medium-Scale Enterprises Improvement and Support Program (KOBIGEL) support model, B1: Logistic support model, B2: KOBIGEL support model, C1: Test analysis and calibration support model, and C2: Test analysis and calibration support model. This means that these support models are required in the first place for group companies.A KOBIGEL support model is the provincial rank for A group companies.

scholarly journals A data envelopment analysis approach for assessing the efficiency of small and medium-sized wood-furniture enterprises: a case study

2018 ◽  
Vol 204 ◽  
pp. 01015 ◽  
Author(s):  
Diana P. Sari ◽  
Naniek Utami Handayani ◽  
M. Mujiya Ulkhaq ◽  
Wiwik Budiawan ◽  
Dea Ladysia Maharani ◽  
...  
Keyword(s):  
Economic Development ◽  
Data Envelopment Analysis ◽  
Small And Medium Enterprises ◽  
Poverty Rate ◽  
Data Envelopment ◽  
Scarce Resources ◽  
The World ◽  
Wood Furniture ◽  
Medium Enterprises

Small and medium enterprises (SMEs) are widely recognised as the key engine of economic development. As a result of this recognition, a central issue dominating policy debates around the world and Indonesia in particular, has been how to stimulate economic growth through the deve-lopment of SMEs. During and beyond the financial crisis, the SMEs in Indonesia contributed to the employment growth and gave steady decline in poverty rate. Wood-furniture industry is one of two traditional labour-intensive industries in Indonesia which plays an important role in the economic development since the country is as one of the biggest furniture exporters in the world. However, the SMEs are facing difficulties in many areas, especially in spending their scarce resources efficiently. A case study to assess the efficiency of the wood-furniture SMEs has been conducted by applying the data envelopment analysis in Kangkung Village, Demak Regency, Indonesia. The results show that from ten assigned wood-furniture SMEs, there are six SMEs that are considered efficient, while the rest are regarded as inefficient. This research is expected to give some advantages to the SMEs regarding how to use their limited resources in an efficient way.

Critical Success Factors of High Performance Work System (HPWS) Practices: Findings from Malaysian SMEs

2020 ◽  
Vol 11 (1) ◽  
pp. 162-162
Author(s):  
Noor Hassanah Husin ◽  
Nur Naha Abu Mansur ◽  
Nur Naha Abu Mansur ◽  
Beni Widarman Yus Kelana
Keyword(s):  
High Performance ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Success Factor ◽  
Good Reliability ◽  
Work System ◽  
Critical Success ◽  
Innovative Work ◽  
High Performance Work System ◽  
Medium Enterprises

Innovation plays a major role and is a crucial component of the organization’s growth. Creativity and innovation have become increasingly popular as key contributors to firm success in the last few decades or so. The incoming technology of Industrial Revolution 4.0 forced many companies to be innovative to compete in technological era. However, many SMEs are not ready and less innovative. Furthermore, there is lack of research focus on HPWS implementation amongst SMEs indicates that further research must be conducted along these lines. Therefore, this study aim to investigate the effect of high performance work system (HPWS) towards innovative work behaviour of employees in small and medium enterprises. This study used quantitative approach to identify the critical success factor of high performance work systems (HPWS) in Malaysian small and medium enterprises (SME) manufacturing industry. This study used descriptive analysis to analyze the data. Five-point Likert scales items ranging from (1-strongly disagree, 5 – strongly agree) employed for measuring the HPWS. Therefore, the total of 81 items survey questions were adapted to obtain the respondents for SME manufacturing industry. Reliability analysis shows that all the HPWS dimensions have very good reliability with Cronbach’s alpha value range from 0.884 to 0.976. According to Tang et al (2014), Cronbach’s alpha range between 0.70 and 0.80 considered as good reliability whereby 0.80 and 0.90 considered as very good reliability. Result also showed that selective staffing has the highest mean score followed by employee participation, which are 3.951 and 3.833 respectively. This proved that selective staffing is most important critical success factor in the HPWS implementation for Malaysian SME manufacturing industry. Keywords: high performance work system, work engagement, innovative work behaviour, small and medium enterprise.

scholarly journals The Innovation Type and Strategy Implemented by Chinese SMEs: Case Study of Manufacturing Industry in Shanghai

2017 ◽  
Vol 8 (2) ◽  
pp. 907-915
Author(s):  
Khaled Mohammed Alqahtani
Keyword(s):  
Manufacturing Industry ◽  
Organizational Innovation ◽  
Small And Medium Enterprises ◽  
Point Of View ◽  
Innovation Strategy ◽  
Structured Interviews ◽  
Cluster Strategy ◽  
Medium Enterprises ◽  
Social Wealth ◽  
Innovation Type

In China, small and medium enterprises (SMEs) play a crucial role in economic development and social wealth in terms of GDP growth, employment creation and poverty alleviation. In the age of technology and information, innovation has been regarded as one of the most significant drivers for the growth and prosperity of SMEs. Therefore, it is necessary for SMEs to implement innovation strategy, which would help them to initiate new products, adopt new processes and increase their competitiveness. From this point of view, this study attempts to identify the innovation situation of Chinese SMEs with regard to innovation type as well as innovation strategy. The research data is collected through structured questionnaires and semi-structured interviews from SMEs of manufacturing industry in Shanghai, China. According to the data results, process innovation and marketing innovation are adopted more frequently than product innovation and organizational innovation by Chinese SMEs. This study also demonstrates most SMEs in China implement free-riding strategy; some of them adopt niche strategy; and few SMEs practice cluster strategy. Although innovation is increasingly important for Chinese SMEs, their implementation of innovation strategy is not highly effective and successful.

Japan–Indonesia Economic Cooperation: An Overview

2021 ◽  
Vol 13 (04) ◽  
pp. 78-91
Author(s):  
SENIWATI ◽  
Munif Arif RANTI ◽  
Oktaviano Nandito GUNTUR ◽  
Ibnu Aly BADIU
Keyword(s):  
Economic Development ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Economic Cooperation ◽  
Tariff Reduction ◽  
Reduction Scheme ◽  
Economic Partnership Agreement ◽  
Economic Partnership ◽  
Partnership Agreement ◽  
Medium Enterprises

This article aims to deepen our knowledge of Japan’s foreign policy in the Southeast Asian region and its role in Indonesia’s economic development, focusing on their economic cooperation via the Indonesia–Japan Economic Partnership Agreement (IJEPA) and Manufacturing Industry Development Centre (MIDEC) programme. The former has promoted cooperation via a tariff reduction scheme, while the latter facilitates the Indonesian government’s aid to micro, small and medium enterprises in the entrepreneurial sector.

scholarly journals The impact of innovation support programs on small and medium enterprises innovation in traditional manufacturing industries: An evaluation for seven European Union regions

2016 ◽  
Vol 34 (8) ◽  
pp. 1425-1452 ◽  
Author(s):  
Dragana Radicic ◽  
Geoffrey Pugh ◽  
Hugo Hollanders ◽  
René Wintjes ◽  
Jon Fairburn
Keyword(s):  
European Union ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Public Investment ◽  
Support Programs ◽  
Wide Range ◽  
Traditional Manufacturing ◽  
Medium Enterprises ◽  
The Impact ◽  
Innovation Support

We evaluate the effect of innovation support programs on output innovation by small and medium enterprises in traditional manufacturing industry. This focus is motivated by a definition of traditional manufacturing industry that includes capacity for innovation, and by evidence of its continued importance in European Union employment. We conducted a survey in seven European Union regions to generate the data needed to estimate pre-published switching models by means of the copula approach, from which we derived treatment effects on a wide range of innovation outputs. We find that for participants the estimated effects of innovation support programs are positive, typically increasing the probability of innovation and of its commercial success by around 15%. Yet, we also find that a greater return on public investment could have been secured by supporting firms chosen at random from the population of innovating traditional sector small and medium enterprises. These findings indicate the effectiveness of innovation support programs while suggesting reform of their selection procedures.

scholarly journals SINERGI INDUSTRI DAN UMKM BERBASIS KELEMBAGAAN : UPAYA PENINGKATAN PUBLIC PRIVATE PARTNERSHIP UNTUK DAYA SAING INDUSTRI NASIONAL

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Mohammad Zeqi Yasin ◽  
Intan Yanuarisma
Keyword(s):  
Data Envelopment Analysis ◽  
Descriptive Study ◽  
Public Private Partnership ◽  
Data Envelopment ◽  
Infrastructure Development ◽  
Private Partnership ◽  
Slowing Down ◽  
Input Variables ◽  
Small Medium Enterprises ◽  
Medium Enterprises

This study aims to determine the level of efficiency of the industry in Indonesia, build synergy concept of industrial and institutional-based Micro, Small, Medium Enterprises (MSME) in Indonesia and analyze the effect of synergy transmission industry and MSME to Public Private Partnership to improve infrastructure development in Indonesia. The method used to answer the purpose of this research is the method of Data Envelopment Analysis (DEA) and descriptive study. Referring to the Cobb-Douglas models, input variables used are the capital and the capital, while the variable output that is used is the output of 24 types of industry. The result indicates that the industry condition in Indonesia is slowing down. Deceleration parameters can be seen from the industry's contribution to GDP has decreased. In addition, the increase in PPP due to the increase in industrial efficiency will increase state revenues for infrastructure development in Indonesia

Exploring the individual, social and organizational predictors of knowledge-sharing behaviours among communities of practice of SMEs in Malaysia

2018 ◽  
Vol 20 (3) ◽  
pp. 375-399 ◽  
Author(s):  
Christine Nya-Ling Tan ◽  
T. Ramayah
Keyword(s):  
Communities Of Practice ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Social Factor ◽  
Content Type ◽  
Electronic Manufacturing Industry ◽  
Prior Literature ◽  
Perceived Consequences ◽  
The Individual ◽  
Medium Enterprises

Purpose To compete in a globally challenging environment, small and medium enterprises (SMEs) are increasingly pressured to leverage their relational capital to stay competitive. The purpose of this study is to model the KS behaviour of SMEs in an increasingly networked world through communities of practice (CoP). Design/methodology/approach Data were collected using a survey instrument developed based on prior literature from SMEs operating only in the electronic manufacturing industry. A total of 120 responses were received of which only 100 were valid. SmartPLS, a second-generation analysis software, was used to analyse the model developed. Findings The findings indicated that affect, reward, perceived consequences and social factor were all positive predictors of KS behaviour of SMEs in communities of practice. Interestingly, the facilitating conditions were found to negatively influence KS behaviour. Practical implications The findings are helpful to SMEs who are embarking on knowledge management (KM) practices in their respective companies and may be used to leverage the drivers of KM to improve more sharing behaviour that keeps SMEs competitive. Originality/value To the best of the authors' knowledge, few studies have explored the individual (i.e. perceived consequences, affect), social (i.e. social factor) and organisational (i.e. facilitating condition, reward) predictors of KS behaviour among CoP’s in Malaysian SMEs.

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